Someone in your area just asked ChatGPT "best [your industry] near me." It recommended two of your competitors. It didn't mention you at all.
This is happening right now, for real searches, and most business owners have no idea it's a factor in whether they get found. AI engines don't rank you like Google does — they either mention you or they don't. There's no page two to hide on. You're either in the answer or you're invisible.
This isn't hypothetical. 45% of consumers now use AI tools like ChatGPT and Gemini to find a local business — up from just 6% the year before (BrightLocal, Local Consumer Review Survey 2026). And most businesses that get checked aren't showing up: ChatGPT currently recommends only 1.2% of local business locations it's asked about, against a 35.9% appearance rate for the same businesses in Google's local 3-pack (SOCi, 2026 Local Visibility Index). The gap isn't about being a worse business — it's about AI engines needing a specific kind of signal that most sites don't give them yet. 86% of what AI engines cite when they do recommend a business traces back to sources that business already controls: its own website and its own listings (Yext, analysis of 6.8 million AI citations). That's the good news — this is fixable, and it's fixable by you.
This guide walks you through checking your own AI visibility, understanding why AI engines choose who they mention, and fixing the gaps — starting with a manual check, then the full picture.
Before You Start
What You'll Have When Done: A clear read on whether AI engines mention your business, why they don't (if they don't), and a prioritised list of fixes.
Time Needed: 20 minutes for the quick check. 60–75 minutes to work through the full guide.
Difficulty: Confident
Prerequisites: A live website. Access to your website's backend or CMS (for adding schema markup later in this guide).
Jump to: Quick Start • Complete Guide • Troubleshooting
Quick Start: Check Your AI Visibility (20 Minutes)
This manual check gets you a baseline before you touch anything.
- Open ChatGPT, Gemini, Claude, and Perplexity in separate tabs, each in a private/incognito browser window — a logged-in session personalises answers based on your own history, which will skew what you see.
- Run each of the 10 queries below through all four engines, swapping in your actual service and location each time.
- For every query and engine, record four things: Mention Rate (mentioned or not), Position (1st, 2nd, or 3rd+ when you do appear), Share of Voice (how you compare to the competitors named instead), and Context Quality (recommended outright, mentioned neutrally, or mentioned with a caveat — a caveated mention can be worse than no mention at all).
- AI answers aren't fixed — the same question can return a different result minutes apart. If a result surprises you, especially a "not mentioned," re-run that specific query 2–3 more times before concluding anything. A single run isn't reliable; a pattern across a few runs is.
- After 40 checks (10 queries × 4 engines) you'll have a real baseline, not an impression.
The 10 Queries to Test
- "Best [your service] in [your town]"
- "Top [your service] companies in [your town] for small business"
- "Who is the best [your service] provider near [your area]?"
- "I need a [your service] in [your town]. Who do you recommend?"
- "Compare [your service] providers in [your town] — who has the best reviews?"
- "What's the best [your service] for [specific need, e.g. 'emergency plumbing']?"
- "Can you recommend a [your business type] open on weekends?"
- "[Your business name] — is this a good [your service]?"
- "What does [your business name] do and where are they based?"
- "Who are the top-rated [your service] providers near [your area/neighbourhood]?"
Validation Checklist
- •You've run all 10 queries across all 4 major AI engines (ChatGPT, Gemini, Claude, Perplexity), in a private/incognito window
- •You've logged Mention Rate, Position, Share of Voice, and Context Quality for each query
- •You've re-run any surprising result 2–3 times before concluding it's accurate
- •You've noted anything inaccurate in how you (or a competitor) were described
What Your Results Mean
Once you've run all 10 queries, you'll land in one of three places:
Mentioned consistently, accurately described. You have a real AI visibility foundation. Your blueprint priority now is defending and extending it — check the Complete Guide below for the signals that keep you there as models update.
Mentioned on some queries, missing on others. The most common result. The queries where you appear tell you what AI engines already know about you; the ones where you don't reveal a specific content or signal gap, not a total absence. Work through the Complete Guide below and prioritise the pillar behind your most valuable missing query first.
Not mentioned on any query. This is fixable, and more common than it feels right now. Work through all five pillars below in order — most businesses in this position are missing more than one signal at once, which compounds.
Complete Guide: Why AI Engines Choose Who They Mention
AI engines don't rank websites the way Google does. They look for signals that let them confidently state a fact about your business. No signal, no mention — regardless of how good your business actually is.
Pillar 1: Structured Data (Schema Markup)
Organization and LocalBusiness schema is structured code on your website that tells AI engines (and search engines) exactly what your business is, where it is, and what it does — without them having to guess from your page copy.
- •Check: search "schema markup validator", paste in your homepage URL, and see if Organization or LocalBusiness schema is present
- •Fix: if missing, this needs adding to your site's code — flag it to whoever manages your website, or use a plugin if you're on WordPress/Squarespace/Wix
Pillar 2: FAQ Content
AI engines pull directly from clearly written question-and-answer content. If your site never actually states "What areas do you cover?" or "How much does X cost?" in plain text, there's nothing for an AI engine to quote.
- •Check: does any page on your site have a visible FAQ section answering the 5–10 questions customers actually ask you?
- •Fix: add a short FAQ block to your key service pages, written in plain language, one question per answer
Pillar 3: NAP Consistency, Reviews, and Directory Presence
AI engines cross-check your business details across every source they can find. If your Name, Address, and Phone number (your "NAP") don't match exactly between your website, Google Business Profile, and directory listings, AI engines lose confidence in the data and either drop you from the answer or describe you wrongly. This is the single most common reason a business disappears from AI answers even when everything else looks fine.
- •Check: search your business name and pull up your website, Google Business Profile, and your top 3 directory listings side by side. Does the name, address, and phone number match exactly on all of them — no old address, no missing suite number, no different phone line?
- •Fix: pick one source as the master record and update every other listing to match it exactly, then complete your Google Business Profile fully (categories, hours, services) and claim listings on the directories your competitors already appear in
Pillar 4: Content Authority
Thin pages (a services page with 40 words) give AI engines nothing to cite. Detailed, specific content authority signals — actual depth on what you do, who for, and how — gives them something to quote and attribute to you by name.
- •Check: pick your main service page. Would a stranger understand exactly what you do and who it's for, in detail, from that page alone?
- •Fix: aim for at least 400–500 words of real detail on your main service pages — what you do, who it's for, how it works, and what it costs where you can share that. Anything shorter gives an AI engine too little to confidently quote and attribute to you by name.
Pillar 5: Platform-Specific Signals
The four pillars above matter everywhere, but each engine weighs them differently — treating all four engines the same way means you might fix the wrong thing first.
- •ChatGPT often answers from training data for familiar topics, but leans heavily on indexed listings and directories once web search is turned on — test with web search both on and off to see how much of your visibility depends on your current web footprint.
- •Gemini pulls heavily from your Google Business Profile, Google Reviews, and Google Maps data — an incomplete or outdated profile is usually the first place it shows up.
- •Claude is more conservative with recommendations and favours verifiable, well-sourced content over thin pages — being recommended by Claude is a strong signal your content authority (Pillar 4) is genuinely working, not just present.
- •Perplexity always searches live and shows its citations inline on every answer — it's the most useful engine to check first, since you can click through its citations to see exactly which pages are shaping what it says about you.
Once you know each engine's leaning, use it to read your own results:
- •Check: run the same question across all four engines and note not just whether you're mentioned, but which pillar above seems to be missing when you're not.
- •Fix: prioritise the pillar the platform-specific pattern points to, rather than fixing all five pillars at once.
Keep a simple log for repeat checks. A one-off test tells you where you stand today; a monthly log tells you whether you're improving. Each time you check, note the date, which engine, which query, whether you were mentioned, your position, and which competitors were named instead. Five minutes a month, and after a few months you'll have a real trend instead of another one-off snapshot.
Every one of these five checks is run automatically by NetNav's AI Visibility Audit, which tests your site against real customer questions across all major AI engines, compares you to competitors, and turns each gap into a task in your blueprint, prioritised in the order that'll move your visibility fastest — schema code, FAQ copy, or content recommendations included.
Validation Checklist
- •You've checked for Organization/LocalBusiness schema and either confirmed it's present or flagged it for fixing
- •You've added or improved FAQ content on at least one key page
- •Your Google Business Profile is complete and you know which directories matter in your industry
- •Your main service page gives real detail, not a thin summary
- •You've identified which platform-specific pattern shows up when you're missing, and prioritised that pillar first
Troubleshooting
I added schema markup but I still don't appear in AI answers.
Schema markup helps AI engines understand your business, but it doesn't guarantee a mention — it's one signal among several. Check the other four pillars (FAQ content, reviews/directories, content depth, platform-specific signals) before assuming schema alone will fix it. AI engines also re-index on their own schedule, so a fix today may not show up in answers for days or weeks.
My competitor is mentioned and they're a worse business than mine.
AI engines mention what they can verify and cite confidently, not necessarily who's actually better. A competitor with complete schema, an FAQ page, and consistent directory listings will out-cite a better business with none of those signals. This is fixable — it's a signals gap, not a merit gap.
I tested this last week and the answer has already changed.
This is normal and expected — AI answers are far less stable than Google rankings. This is exactly why ongoing monitoring matters more than a single check.
What's Next
Immediate next step: Set up ongoing AI visibility monitoring so you know the moment your status changes, rather than manually re-checking.
Go deeper: Optimise your Google Business Profile — the directory and local-trust signals overlap directly with AI visibility.